Tamo, Giorgio ElikemMaesani, AndreaTräger, SylvainDegiacomi, MatteoFloreano, DarioDal Peraro, MatteoDisentangling constraints using viability evolution principles in integrative modeling of macromolecular assembliesScientific ReportsScientific ReportsScientific ReportsScientific Reports97235Computational biophysicsMolecular modellingProtein structure predictionsArtificial Evolution20172017Predicting the structure of large molecular assemblies remains a challenging task in structural biology when using integrative modeling approaches. One of the main issues stems from the treatment of heterogeneous experimental data used to predict the architecture of native complexes. We propose a new method, applied here for the first time to a set of symmetrical complexes, based on evolutionary computation that treats every available experimental input independently, bypassing the need to balance weight components assigned to aggregated fitness functions during optimization.Nature Publishing GroupScientific ReportsJournal Articles10.1038/s41598-017-00266-w